Merge pull request #1711 from myhloli/dev

docs(windows): add numpy version limit for CUDA installation

docker/ascend_npu/Dockerfile

@@ -36,7 +36,8 @@ RUN /bin/bash -c "source /opt/mineru_venv/bin/activate && \
     wget https://gcore.jsdelivr.net/gh/opendatalab/MinerU@master/docker/ascend_npu/requirements.txt -O requirements.txt && \
     pip3 install -r requirements.txt --extra-index-url https://wheels.myhloli.com -i https://mirrors.aliyun.com/pypi/simple && \
     wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch2.3.1/torch_npu-2.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl && \
-    pip install torch_npu-2.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl"
+    pip3 install torch_npu-2.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl && \
+    pip3 install https://gcore.jsdelivr.net/gh/myhloli/wheels@main/assets/whl/paddle-custom-npu/paddle_custom_npu-0.0.0-cp310-cp310-linux_aarch64.whl"
 
 # Copy the configuration file template and install magic-pdf latest
 RUN /bin/bash -c "wget https://gcore.jsdelivr.net/gh/opendatalab/MinerU@master/magic-pdf.template.json && \

docs/README_Windows_CUDA_Acceleration_en_US.md

@@ -65,7 +65,7 @@ If your graphics card has at least 8GB of VRAM, follow these steps to test CUDA-
 1. **Overwrite the installation of torch and torchvision** supporting CUDA.
 
    ```
-   pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 --index-url https://download.pytorch.org/whl/cu118
+   pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 "numpy<2.0.0" --index-url https://download.pytorch.org/whl/cu118
    ```
 
 2. **Modify the value of `"device-mode"`** in the `magic-pdf.json` configuration file located in your user directory.

docs/README_Windows_CUDA_Acceleration_zh_CN.md

@@ -66,7 +66,7 @@ pip install -U magic-pdf[full] --extra-index-url https://wheels.myhloli.com -i h
 **1.覆盖安装支持cuda的torch和torchvision**
 
 ```bash
-pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 --index-url https://download.pytorch.org/whl/cu118
+pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 "numpy<2.0.0" --index-url https://download.pytorch.org/whl/cu118
 ```
 
 **2.修改【用户目录】中配置文件magic-pdf.json中"device-mode"的值**